CN107767408B - 图像处理方法、处理装置和处理设备 - Google Patents

图像处理方法、处理装置和处理设备 Download PDF

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CN107767408B
CN107767408B CN201711099143.2A CN201711099143A CN107767408B CN 107767408 B CN107767408 B CN 107767408B CN 201711099143 A CN201711099143 A CN 201711099143A CN 107767408 B CN107767408 B CN 107767408B
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CN107767408A (zh
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刘瀚文
那彦波
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BOE Technology Group Co Ltd
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2132—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on discrimination criteria, e.g. discriminant analysis
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    • G06T11/00—2D [Two Dimensional] image generation
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    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
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    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
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CN201711099143.2A 2017-11-09 2017-11-09 图像处理方法、处理装置和处理设备 Active CN107767408B (zh)

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PCT/CN2018/101372 WO2019091181A1 (zh) 2017-11-09 2018-08-20 图像处理方法、处理装置和处理设备
EP18876474.0A EP3709267A4 (de) 2017-11-09 2018-08-20 Bildverarbeitungsverfahren, verarbeitungsvorrichtung und verarbeitungsvorrichtung
US16/338,830 US11138466B2 (en) 2017-11-09 2018-08-20 Image processing method, processing apparatus and processing device

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Families Citing this family (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018091486A1 (en) 2016-11-16 2018-05-24 Ventana Medical Systems, Inc. Convolutional neural networks for locating objects of interest in images of biological samples
CN107767408B (zh) * 2017-11-09 2021-03-12 京东方科技集团股份有限公司 图像处理方法、处理装置和处理设备
JP7268001B2 (ja) * 2018-04-05 2023-05-02 株式会社小糸製作所 演算処理装置、オブジェクト識別システム、学習方法、自動車、車両用灯具
CN108805833B (zh) * 2018-05-29 2019-06-18 西安理工大学 基于条件对抗网络的字帖二值化背景噪声杂点去除方法
CN110555808B (zh) * 2018-05-31 2022-05-31 杭州海康威视数字技术股份有限公司 一种图像处理方法、装置、设备及机器可读存储介质
RU2709661C1 (ru) * 2018-09-19 2019-12-19 Общество с ограниченной ответственностью "Аби Продакшн" Обучение нейронных сетей для обработки изображений с помощью синтетических фотореалистичных содержащих знаки изображений
US11080832B2 (en) 2018-09-26 2021-08-03 Canon Kabushiki Kaisha Image processing method, image processing apparatus, imaging apparatus, and storage medium
CN110956575B (zh) 2018-09-26 2022-04-12 京东方科技集团股份有限公司 转变图像风格的方法和装置、卷积神经网络处理器
US20200184321A1 (en) * 2018-12-11 2020-06-11 Fotonation Limited Multi-processor neural network processing apparatus
CN109816612A (zh) 2019-02-18 2019-05-28 京东方科技集团股份有限公司 图像增强方法和装置、计算机可读存储介质
CN111724309B (zh) * 2019-03-19 2023-07-14 京东方科技集团股份有限公司 图像处理方法及装置、神经网络的训练方法、存储介质
CN111008692A (zh) * 2019-11-08 2020-04-14 国网天津市电力公司 基于改进生成对抗网络的多能计量特征数据生成方法及装置
CN111260570B (zh) * 2020-01-10 2023-03-14 西安理工大学 基于循环一致性对抗网络的碑帖二值化背景噪声模拟方法
CN114981836A (zh) * 2020-01-23 2022-08-30 三星电子株式会社 电子设备和电子设备的控制方法
CN111340905B (zh) * 2020-02-13 2023-08-04 北京百度网讯科技有限公司 图像风格化方法、装置、设备和介质
GB2606792A (en) 2020-03-26 2022-11-23 Shenzhen Inst Adv Tech Time series data generation method and device based on multi-condition constraints, and medium
CN111475496B (zh) * 2020-03-26 2023-07-21 深圳先进技术研究院 基于多条件约束的时间序列数据生成方法、装置及介质
CN111428678B (zh) * 2020-04-02 2023-06-23 山东卓智软件股份有限公司 一种空间约束条件下生成对抗网络遥感影像样本扩充方法
CN111524207B (zh) * 2020-04-21 2023-01-06 腾讯科技（深圳）有限公司 基于人工智能的图像生成方法、装置、电子设备
JP7446903B2 (ja) * 2020-04-23 2024-03-11 株式会社日立製作所 画像処理装置、画像処理方法及び画像処理システム
CN113642592B (zh) * 2020-04-27 2024-07-05 武汉Tcl集团工业研究院有限公司 一种训练模型的训练方法、场景识别方法、计算机设备
CN111710011B (zh) * 2020-06-10 2021-06-25 广州梦映动漫网络科技有限公司 一种漫画生成方法、系统、电子设备及介质
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CN112598775B (zh) * 2020-12-21 2021-10-29 广东工业大学 一种基于对比学习的多视图生成方法
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CN113723171B (zh) * 2021-06-16 2022-11-11 陕西师范大学 基于残差生成对抗网络的脑电信号去噪方法
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CN113627289B (zh) * 2021-07-27 2023-06-16 广西电网有限责任公司 一种基于深度学习的电力设备识别方法及其装置
CN115797479B (zh) * 2021-09-09 2024-05-24 北京三快在线科技有限公司 地标图像的生成方法、装置、计算机设备和存储介质
CN114091538B (zh) * 2021-11-23 2024-04-30 吉林大学 一种基于信号特征的判别损失卷积神经网络智能降噪方法
CN114387467B (zh) * 2021-12-09 2022-07-29 哈工大（张家口）工业技术研究院 一种基于多模块卷积特征融合的医学图像分类方法

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102288280B1 (ko) * 2014-11-05 2021-08-10 삼성전자주식회사 영상 학습 모델을 이용한 영상 생성 방법 및 장치
US10504004B2 (en) * 2016-09-16 2019-12-10 General Dynamics Mission Systems, Inc. Systems and methods for deep model translation generation
US10607329B2 (en) * 2017-03-13 2020-03-31 Adobe Inc. Illumination estimation from a single image
CN106971202A (zh) * 2017-03-24 2017-07-21 南京大学 一种基于卷积神经网络的中国水墨画风格提取方法
CN106952224B (zh) * 2017-03-30 2019-08-13 电子科技大学 一种基于卷积神经网络的图像风格转移方法
CN107180410A (zh) * 2017-04-11 2017-09-19 中国农业大学 一种图像的风格化重建方法及装置
CN107122826B (zh) * 2017-05-08 2019-04-23 京东方科技集团股份有限公司 用于卷积神经网络的处理方法和系统、和存储介质
US10210631B1 (en) * 2017-08-18 2019-02-19 Synapse Technology Corporation Generating synthetic image data
CN107767408B (zh) 2017-11-09 2021-03-12 京东方科技集团股份有限公司 图像处理方法、处理装置和处理设备

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WO2019091181A8 (zh) 2019-08-01
CN107767408A (zh) 2018-03-06
US20200065619A1 (en) 2020-02-27
US11138466B2 (en) 2021-10-05
EP3709267A4 (de) 2021-07-28
WO2019091181A1 (zh) 2019-05-16

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